Original scientific paper

https://doi.org/10.17559/TV-20160429044233

Improving retrieval accuracy for aerosol optical depth by fusion of MODIS and CALIOP data

Bo Han ; International School of Software, Wuhan University, 37 Luoyu Road, Wuhan, China
Hongpeng Ding ; International School of Software, Wuhan University, 37 Luoyu Road, Wuhan, China
Yingying Ma ; The State Key Laboratory of Information Engineering in Surveying, Mapping, and Remote Sensing, Wuhan University, 37 Luoyu Road, Wuhan, China
Wei Gong ; The State Key Laboratory of Information Engineering in Surveying, Mapping, and Remote Sensing, Wuhan University, 37 Luoyu Road, Wuhan, China

Abstract

MODIS and CALIOP are two independent observation instruments in the A-train satellite constellation. They both provide aerosol optical depth (AOD) retrievals and scan the same points on the Earth’s surface within a two-minute interval. With different design principles, MODIS and CALIOP instruments obtain varying AOD retrieval accuracies under different conditions. In this paper, we propose a two-stage fusion approach, including an analysis stage and an integration stage, to improve AOD retrieval accuracy. In the analysis stage, we systematically analyse conditions where MODIS retrieves well while CALIOP does not, and vice-versa. In the integration stage, we combine AOD retrievals from both instruments together by drawing on the other's strong points to make up one's weak points. We test the fusion approach on the two-year collocated data from MODIS, CALIOP and AERONET. The fusion result is significantly more accurate than AOD retrievals from any single observation facility.

Keywords

MODIS; CALIOP; AERONET; Aerosol Optical Depth; Fusion

Hrčak ID:

183039

URI

https://hrcak.srce.hr/183039

Publication date:

15.6.2017.

Article data in other languages: croatian

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